Multimodal LLMs papers, 2023–2026

Key findings

• Multimodal LLMs went from 1,226 papers in 2023 to 5,192 in 2026, roughly 4.2x in three years.
• NeurIPS publishes the most Multimodal LLMs work: 3,319 papers from 2023 to 2026, 30% of the four-venue total.
• The fastest-growing overlap is with Applications · computer vision: papers tagged with both rose from 35 in 2023 to 596 in 2026.
• Among the 4 topics under Trending Systems, it ranks #1 by 2026 paper count; the fastest grower in the group, AI Agents, is up 12x versus 4.2x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026$\text{A}^3$-VLA: Automatic Perception-Guided Attention Alignment for Robot Manipulation
• ICML 2026[CLS] is Not Enough: Multi-Label Recognition via Patch-Level Inference and Adaptive Aggregation
• ICLR 2026A Balanced Neuro-Symbolic Approach for Commonsense Abductive Logic
• CVPR 20263D Space as a Scratchpad for Editable Text-to-Image Generation
• NeurIPS 2025$\Delta \mathrm{Energy}$: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization
• ICML 2025Adapting While Learning: Grounding LLMs for Scientific Problems with Tool Usage Adaptation
• ICLR 2025$\gamma-$MoD: Exploring Mixture-of-Depth Adaptation for Multimodal Large Language Models
• CVPR 20252DMamba: Efficient State Space Model for Image Representation with Applications on Giga-Pixel Whole Slide Image Classification
• NeurIPS 2024A Concept-Based Explainability Framework for Large Multimodal Models
• ICML 2024A Multimodal Automated Interpretability Agent
• ICLR 2024Alt-Text with Context: Improving Accessibility for Images on Twitter
• CVPR 2024Data-Efficient Multimodal Fusion on a Single GPU
• NeurIPS 20234M: Massively Multimodal Masked Modeling
• ICML 2023$\pi$-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation
• ICLR 2023A Primal-Dual Framework for Transformers and Neural Networks
• CVPR 20233D Concept Learning and Reasoning From Multi-View Images
• NeurIPS 2026$\texttt{bispectrum}$: Selective $G$-Bispectra Made Practical
• ICML 2026$G^2$-Reader: Dual Evolving Graphs for Multimodal Document QA
• ICLR 2026A Comprehensive Information-Decomposition Analysis of Large Vision-Language Models
• CVPR 20263D-IDE 3D Implicit Depth Emergent

All Multimodal LLMs papers

433 papers, page 1 of 9

1. NeurIPS 20233D-LLM: Injecting the 3D World into Large Language Models
2. NeurIPS 20234M: Massively Multimodal Masked Modeling
3. NeurIPS 2023A case for reframing automated medical image classification as segmentation
4. NeurIPS 2023A Regularized Conditional GAN for Posterior Sampling in Image Recovery Problems
5. NeurIPS 2023A Robust Exact Algorithm for the Euclidean Bipartite Matching Problem
6. NeurIPS 2023A Step Towards Worldwide Biodiversity Assessment: The BIOSCAN-1M Insect Dataset
7. NeurIPS 2023A Theory of Multimodal Learning
8. NeurIPS 2023A Unified Framework for U-Net Design and Analysis
9. NeurIPS 2023Achieving Cross Modal Generalization with Multimodal Unified Representation
10. NeurIPS 2023Active Reasoning in an Open-World Environment
11. NeurIPS 2023Adaptive recurrent vision performs zero-shot computation scaling to unseen difficulty levels
12. NeurIPS 2023AGD: an Auto-switchable Optimizer using Stepwise Gradient Difference for Preconditioning Matrix
13. NeurIPS 2023AiluRus: A Scalable ViT Framework for Dense Prediction
14. NeurIPS 2023AircraftVerse: A Large-Scale Multimodal Dataset of Aerial Vehicle Designs
15. NeurIPS 2023ALGO: Synthesizing Algorithmic Programs with Generated Oracle Verifiers
16. NeurIPS 2023Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization
17. NeurIPS 2023Aligning Gradient and Hessian for Neural Signed Distance Function
18. NeurIPS 2023Aligning Language Models with Human Preferences via a Bayesian Approach
19. NeurIPS 2023Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation
20. NeurIPS 2023Alleviating the Semantic Gap for Generalized fMRI-to-Image Reconstruction
21. NeurIPS 2023Alternating Gradient Descent and Mixture-of-Experts for Integrated Multimodal Perception
22. NeurIPS 2023Alternating Updates for Efficient Transformers
23. NeurIPS 2023AmadeusGPT: a natural language interface for interactive animal behavioral analysis
24. NeurIPS 2023An $\varepsilon$-Best-Arm Identification Algorithm for Fixed-Confidence and Beyond
25. NeurIPS 2023An Inverse Scaling Law for CLIP Training
26. NeurIPS 2023An NLP Benchmark Dataset for Assessing Corporate Climate Policy Engagement
27. NeurIPS 2023Analyzing Vision Transformers for Image Classification in Class Embedding Space
28. NeurIPS 2023AND: Adversarial Neural Degradation for Learning Blind Image Super-Resolution
29. NeurIPS 2023ANPL: Towards Natural Programming with Interactive Decomposition
30. NeurIPS 2023Any-to-Any Generation via Composable Diffusion
31. NeurIPS 2023Are Diffusion Models Vision-And-Language Reasoners?
32. NeurIPS 2023Are Emergent Abilities of Large Language Models a Mirage?
33. NeurIPS 2023Are These the Same Apple? Comparing Images Based on Object Intrinsics
34. NeurIPS 2023ASIF: Coupled Data Turns Unimodal Models to Multimodal without Training
35. NeurIPS 2023ASL Citizen: A Community-Sourced Dataset for Advancing Isolated Sign Language Recognition
36. NeurIPS 2023Assessor360: Multi-sequence Network for Blind Omnidirectional Image Quality Assessment
37. NeurIPS 2023Augmenting Language Models with Long-Term Memory
38. NeurIPS 2023Auslan-Daily: Australian Sign Language Translation for Daily Communication and News
39. NeurIPS 2023Balanced Training for Sparse GANs
40. NeurIPS 2023Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks
41. NeurIPS 2023Benchmarking Foundation Models with Language-Model-as-an-Examiner
42. NeurIPS 2023Benchmarking Large Language Models on CMExam - A comprehensive Chinese Medical Exam Dataset
43. NeurIPS 2023Benchmarking Robustness of Adaptation Methods on Pre-trained Vision-Language Models
44. NeurIPS 2023BERT Lost Patience Won't Be Robust to Adversarial Slowdown
45. NeurIPS 2023Beyond Unimodal: Generalising Neural Processes for Multimodal Uncertainty Estimation
46. NeurIPS 2023BLIP-Diffusion: Pre-trained Subject Representation for Controllable Text-to-Image Generation and Editing
47. NeurIPS 2023Block-State Transformers
48. NeurIPS 2023BoardgameQA: A Dataset for Natural Language Reasoning with Contradictory Information
49. NeurIPS 2023Bootstrapping Vision-Language Learning with Decoupled Language Pre-training
50. NeurIPS 2023Brain encoding models based on multimodal transformers can transfer across language and vision

FAQ

How many Multimodal LLMs papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

11,209 in total: 1,226 in 2023, 1,716 in 2024, 3,075 in 2025, 5,192 in 2026.

How many Multimodal LLMs papers are at NeurIPS 2026?

NeurIPS 2026 has 1,366 Multimodal LLMs papers, versus 1,074 the year before.

How many Multimodal LLMs papers are at ICLR 2026?

ICLR 2026 has 1,401 Multimodal LLMs papers, versus 816 the year before.

How many Multimodal LLMs papers are at ICML 2026?

ICML 2026 has 1,051 Multimodal LLMs papers, versus 390 the year before.

How many Multimodal LLMs papers are at CVPR 2026?

CVPR 2026 has 1,374 Multimodal LLMs papers, versus 795 the year before.

Which conference publishes the most Multimodal LLMs papers?

NeurIPS, with 3,319 papers from 2023 to 2026.